Data Engineer - Business Intelligence & Dashboards

Ambition Singapore; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Ambition Singapore is seeking an experienced Data Engineer to join our data and analytics team in Singapore. The role focuses on delivering data pipelines, dashboards, and reliable data assets for business teams across the organization.

You will collaborate with business units to capture requirements, translate them into technical specifications, design data models, and build interactive Tableau dashboards powered by AWS Redshift, S3, and Glue.

Qualifications

• 3+ years of experience in data engineering, BI, or analytics.
• Proficiency in SQL for data querying, transformation and modelling.
• Hands-on experience with Tableau or equivalent BI tools for dashboard development.
• Experience with cloud data platforms (AWS preferred: Redshift, S3, Glue).
• Strong stakeholder engagement and ability to translate business needs into technical requirements.
• Experience in data modelling for analytics (star schema, dimensional modelling).

Responsibilities

• Partner with business units to understand data and reporting needs.
• Facilitate requirements workshops and interviews to document data requirements, KPIs, and reporting use cases.
• Translate business requirements into data specifications for the data engineering team.
• Act as liaison between business stakeholders and data platform team.
• Design and develop data transformation logic for curated datasets.
• Build and maintain data models in Redshift or the data lake zone.
• Ensure data accuracy, consistency, and completeness for reporting datasets.
• Apply data quality checks and validation rules for insights.
• Design and maintain dashboards and reports in Tableau (via Redshift or S3).
• Create near-real-time dashboards, ad-hoc analyses, and scheduled reports.
• Ensure dashboards are intuitive for non-technical users.
• Document data definitions, glossary terms, and dashboard logic in AWS Glue Catalogue.

Skills

SQL

Stakeholder engagement

Data modelling

Dashboards

Data warehousing

Tools

Tableau

Power BI

QuickSight

Amazon Redshift

Amazon S3

AWS Glue

Job description

We are seeking for an experience Data Engineer with below requirement:

Key Responsibilities

Requirements Gathering & Stakeholder Engagement

• Partner with business units across the organization to understand their data and reporting needs
• Facilitate requirements workshops and interviews to document data requirements, KPIs, and reporting use cases
• Translate business requirements into clear data specifications for the data engineering team
• Act as the primary liaison between business stakeholders and the technical data platform team
• Design and develop data transformation logic to prepare curated datasets for reporting and analytics consumption
• Build and maintain data models in Amazon Redshift or the curated/consumption zone of the Data Lake
• Ensure data accuracy, consistency, and completeness for all reporting datasets
• Apply data quality checks and validation rules to support trustworthy business insights
• Design, develop, and maintain interactive dashboards and reports in Tableau (connected via Amazon Redshift or S3)
• Create near-real-time operational dashboards, ad-hoc analysis views, and scheduled reports tailored to business unit needs
• Ensure dashboards are intuitive and accessible for non-technical end users
• Iterate on dashboard designs based on user feedback and evolving business requirements
• Document data definitions, business glossary terms, and dashboard logic in the AWS Glue Data Catalogue
• Maintain clear documentation of data sources, transformation logic, and report specifications
• Support self-service analytics by enabling business users to discover and access data independently

Requirements

• Minimum 3 years of experience in a data engineering, business intelligence, or data analyst role
• Proficiency in SQL for data querying, transformation, and modelling
• Hands-on experience with Tableau or equivalent BI tools (Power BI, Quick Sight) for dashboard development
• Experience working with cloud data platforms (AWS preferred - Amazon Redshift, S3, AWS Glue)
• Strong stakeholder engagement and communication skills, with the ability to translate business needs into technical requirements
• Experience in data modelling for analytics (star schema, dimensional modelling)

Preferred

• Familiarity with Python for data transformation and automation
• Experience with AWS Glue Data Catalogue or similar metadata management tools
• Exposure to Salesforce or other SaaS data sources
• Prior experience working in a government, or public sector environment
• Understanding of data governance and data quality principles